描述性和探索性数据分析技术

Big data sets, such as numbers, may not seem like they make sense. Or it could seem they don’t tell you anything useful. That’s because you’ll usually need to perform some sort of analysis to gain any real insight from data. And depending on what you’re looking for, there are different ways you can do this.

Two commonly used forms of data analysis are descriptive and exploratory. Both can be extremely useful for understanding the data in front of you, and are closely linked. Knowing which to use, how, and when, is essential for getting the most out of them. This course will take you through an overview of what descriptive and exploratory data analysis are, including some examples of these methods, and how they can be helpful for you and your data.

By the end of this course, you’ll be able to:

• Understand what descriptive data analysis is and what it’s used for
• Understand what exploratory data analysis is and what it’s used for
• Recognize some key examples of descriptive and exploratory data-analysis techniques

Why take this course?

Understanding the correct type of analysis for your data to gain the insight you need is important. By performing the wrong kinds of analysis, you could be wasting time and causing unnecessary frustration and confusion. This course provides an overview of descriptive and exploratory data-analysis techniques, including what they’re useful for, and some key examples of each. This course is useful for anyone who needs to carry out data analysis.

15 mins | SCORM | Infographic